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Case Study 4.9

Cross-Border Trade for Insurance Underwriters: Data Quality And Bias | 2020–2029 Trends

40
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APA
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~ 42–59 mins
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Cybersecurity Energy HCI
Abstract

This case study investigates “Cross-Border Trade for Insurance Underwriters: Data Quality And Bias | 2020–2029 Trends” using a systematic literature review. Through a economic lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Cross-Border Trade for Insurance Underwriters: Data Quality And Bias | 2020–2029 Trends

ABSTRACT
Cross-Border Trade for Insurance Underwriters: Data Quality And Bias | 2020–2029 Trends is unpacked across themes: scalability, governance, usability, and security. Limitations and future research paths are noted.
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